Le SIDA en Afrique subsaharienne (serveur d'exploration)

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.
***** Acces problem to record *****\

Identifieur interne : 002595 ( Pmc/Corpus ); précédent : 0025949; suivant : 0025960 ***** probable Xml problem with record *****

Links to Exploration step


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Determinants of Inequity in Health Care Services Utilization in Markazi Province of Iran</title>
<author>
<name sortKey="Hassanzadeh, Jafar" sort="Hassanzadeh, Jafar" uniqKey="Hassanzadeh J" first="Jafar" last="Hassanzadeh">Jafar Hassanzadeh</name>
<affiliation>
<nlm:aff id="aff15479">Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mohammadbeigi, Abolfazl" sort="Mohammadbeigi, Abolfazl" uniqKey="Mohammadbeigi A" first="Abolfazl" last="Mohammadbeigi">Abolfazl Mohammadbeigi</name>
<affiliation>
<nlm:aff id="aff16092">Department of Epidemiology, School of Health, Qom University of Medical Sciences, Qom, IR Iran</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Eshrati, Babak" sort="Eshrati, Babak" uniqKey="Eshrati B" first="Babak" last="Eshrati">Babak Eshrati</name>
<affiliation>
<nlm:aff id="aff15481">Department of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, IR Iran</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Rezaianzadeh, Abbas" sort="Rezaianzadeh, Abbas" uniqKey="Rezaianzadeh A" first="Abbas" last="Rezaianzadeh">Abbas Rezaianzadeh</name>
<affiliation>
<nlm:aff id="aff15479">Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Rajaeefard, Abdolreza" sort="Rajaeefard, Abdolreza" uniqKey="Rajaeefard A" first="Abdolreza" last="Rajaeefard">Abdolreza Rajaeefard</name>
<affiliation>
<nlm:aff id="aff15479">Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">24349720</idno>
<idno type="pmc">3838642</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3838642</idno>
<idno type="RBID">PMC:3838642</idno>
<idno type="doi">10.5812/ircmj.3525</idno>
<date when="2013">2013</date>
<idno type="wicri:Area/Pmc/Corpus">002595</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002595</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Determinants of Inequity in Health Care Services Utilization in Markazi Province of Iran</title>
<author>
<name sortKey="Hassanzadeh, Jafar" sort="Hassanzadeh, Jafar" uniqKey="Hassanzadeh J" first="Jafar" last="Hassanzadeh">Jafar Hassanzadeh</name>
<affiliation>
<nlm:aff id="aff15479">Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mohammadbeigi, Abolfazl" sort="Mohammadbeigi, Abolfazl" uniqKey="Mohammadbeigi A" first="Abolfazl" last="Mohammadbeigi">Abolfazl Mohammadbeigi</name>
<affiliation>
<nlm:aff id="aff16092">Department of Epidemiology, School of Health, Qom University of Medical Sciences, Qom, IR Iran</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Eshrati, Babak" sort="Eshrati, Babak" uniqKey="Eshrati B" first="Babak" last="Eshrati">Babak Eshrati</name>
<affiliation>
<nlm:aff id="aff15481">Department of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, IR Iran</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Rezaianzadeh, Abbas" sort="Rezaianzadeh, Abbas" uniqKey="Rezaianzadeh A" first="Abbas" last="Rezaianzadeh">Abbas Rezaianzadeh</name>
<affiliation>
<nlm:aff id="aff15479">Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Rajaeefard, Abdolreza" sort="Rajaeefard, Abdolreza" uniqKey="Rajaeefard A" first="Abdolreza" last="Rajaeefard">Abdolreza Rajaeefard</name>
<affiliation>
<nlm:aff id="aff15479">Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Iranian Red Crescent Medical Journal</title>
<idno type="ISSN">2074-1804</idno>
<idno type="eISSN">2074-1812</idno>
<imprint>
<date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>National and international statistics from Iran have indicated that progresses and achievements have been made for most health indicators, but there are differences in some indicators in special groups and at the provincial level.</p>
</sec>
<sec>
<title>Objectives</title>
<p>Our aim was to assess the main predictors of inequity in seeking Health Care Utilities (HCU) locally.</p>
</sec>
<sec>
<title>Patients and Methods</title>
<p>Data gathered from the HCU survey, which was conducted in the Markazi province of Iran during 2008, was used in the present study. A systematic sampling method, based on the Iranian household framework, was applied in order to choose 758 households as well as 2711 individuals. The household wealth index constructed by Principle Component Analysis (PCA) and robust login link function in Generalized Estimation Equation (GEE) model were used in order to determine the predictors of inequity.</p>
</sec>
<sec>
<title>Results</title>
<p>66.4% of those in need sought outpatient health care from which 97.7% received appropriate services. After adjustment for the clustering effect of household as well as confounding effect of the covariates, GEE model showed that there were inequities in HCU for females (OR = 2.44, CI; 1.24- 4.81) and subjects with inpatient need (OR = 2.14, CI: 1.23-3.72). Being in the lowest quintile of household wealth index was associated with the lower use of outpatient health services (OR = 0.45, CI; 0.23- 0.88).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>In spite of improvements in the national health indicator, different groups of people use health care services differently, but these inequities in HCU are related to social and individual factors. Also, it is clear that health sector facilities and the accessibility to health services are not the only predictors.</p>
</sec>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Van Doorslaer, E" uniqKey="Van Doorslaer E">E van Doorslaer</name>
</author>
<author>
<name sortKey="Wagstaff, A" uniqKey="Wagstaff A">A Wagstaff</name>
</author>
<author>
<name sortKey="Van Der Burg, H" uniqKey="Van Der Burg H">H van der Burg</name>
</author>
<author>
<name sortKey="Christiansen, T" uniqKey="Christiansen T">T Christiansen</name>
</author>
<author>
<name sortKey="De Graeve, D" uniqKey="De Graeve D">D De Graeve</name>
</author>
<author>
<name sortKey="Duchesne, I" uniqKey="Duchesne I">I Duchesne</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lu, Jf" uniqKey="Lu J">JF Lu</name>
</author>
<author>
<name sortKey="Leung, Gm" uniqKey="Leung G">GM Leung</name>
</author>
<author>
<name sortKey="Kwon, S" uniqKey="Kwon S">S Kwon</name>
</author>
<author>
<name sortKey="Tin, Ky" uniqKey="Tin K">KY Tin</name>
</author>
<author>
<name sortKey="Van Doorslaer, E" uniqKey="Van Doorslaer E">E Van Doorslaer</name>
</author>
<author>
<name sortKey="O Donnell, O" uniqKey="O Donnell O">O O'Donnell</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Soleymani, F" uniqKey="Soleymani F">F Soleymani</name>
</author>
<author>
<name sortKey="Valadkhani, M" uniqKey="Valadkhani M">M Valadkhani</name>
</author>
<author>
<name sortKey="Dinarvand, R" uniqKey="Dinarvand R">R Dinarvand</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mehrdad, R" uniqKey="Mehrdad R">R Mehrdad</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Asadi Lari, M" uniqKey="Asadi Lari M">M Asadi-Lari</name>
</author>
<author>
<name sortKey="Sayyari, Aa" uniqKey="Sayyari A">AA Sayyari</name>
</author>
<author>
<name sortKey="Akbari, Me" uniqKey="Akbari M">ME Akbari</name>
</author>
<author>
<name sortKey="Gray, D" uniqKey="Gray D">D Gray</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Haghdoost, Aa" uniqKey="Haghdoost A">AA Haghdoost</name>
</author>
<author>
<name sortKey="Safizadeh, H" uniqKey="Safizadeh H">H Safizadeh</name>
</author>
<author>
<name sortKey="Oliaee Manesh, Ar" uniqKey="Oliaee Manesh A">AR OLiaee Manesh</name>
</author>
<author>
<name sortKey="Beheshtian, M" uniqKey="Beheshtian M">M Beheshtian</name>
</author>
<author>
<name sortKey="Motlagh, Me" uniqKey="Motlagh M">ME Motlagh</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Heidari, Gr" uniqKey="Heidari G">GR Heidari</name>
</author>
<author>
<name sortKey="Heidari, Rn" uniqKey="Heidari R">RN Heidari</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Khosravi, A" uniqKey="Khosravi A">A Khosravi</name>
</author>
<author>
<name sortKey="Taylor, R" uniqKey="Taylor R">R Taylor</name>
</author>
<author>
<name sortKey="Naghavi, M" uniqKey="Naghavi M">M Naghavi</name>
</author>
<author>
<name sortKey="Lopez, Ad" uniqKey="Lopez A">AD Lopez</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Who" uniqKey="Who">WHO.</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cheraghali, Am" uniqKey="Cheraghali A">AM Cheraghali</name>
</author>
<author>
<name sortKey="Nikfar, S" uniqKey="Nikfar S">S Nikfar</name>
</author>
<author>
<name sortKey="Behmanesh, Y" uniqKey="Behmanesh Y">Y Behmanesh</name>
</author>
<author>
<name sortKey="Rahimi, V" uniqKey="Rahimi V">V Rahimi</name>
</author>
<author>
<name sortKey="Habibipour, F" uniqKey="Habibipour F">F Habibipour</name>
</author>
<author>
<name sortKey="Tirdad, R" uniqKey="Tirdad R">R Tirdad</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hassanzadeh, J" uniqKey="Hassanzadeh J">J Hassanzadeh</name>
</author>
<author>
<name sortKey="Mohammadbeigi, A" uniqKey="Mohammadbeigi A">A Mohammadbeigi</name>
</author>
<author>
<name sortKey="Eshrati, B" uniqKey="Eshrati B">B Eshrati</name>
</author>
<author>
<name sortKey="Moemenbellah Fard, Md" uniqKey="Moemenbellah Fard M">MD Moemenbellah-Fard</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hosseinpoor, Ar" uniqKey="Hosseinpoor A">AR Hosseinpoor</name>
</author>
<author>
<name sortKey="Van Doorslaer, E" uniqKey="Van Doorslaer E">E Van Doorslaer</name>
</author>
<author>
<name sortKey="Speybroeck, N" uniqKey="Speybroeck N">N Speybroeck</name>
</author>
<author>
<name sortKey="Naghavi, M" uniqKey="Naghavi M">M Naghavi</name>
</author>
<author>
<name sortKey="Mohammad, K" uniqKey="Mohammad K">K Mohammad</name>
</author>
<author>
<name sortKey="Majdzadeh, R" uniqKey="Majdzadeh R">R Majdzadeh</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Khosravi, A" uniqKey="Khosravi A">A Khosravi</name>
</author>
<author>
<name sortKey="Taylor, R" uniqKey="Taylor R">R Taylor</name>
</author>
<author>
<name sortKey="Naghavi, M" uniqKey="Naghavi M">M Naghavi</name>
</author>
<author>
<name sortKey="Lopez, Ad" uniqKey="Lopez A">AD Lopez</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Montazeri, A" uniqKey="Montazeri A">A Montazeri</name>
</author>
<author>
<name sortKey="Goshtasebi, A" uniqKey="Goshtasebi A">A Goshtasebi</name>
</author>
<author>
<name sortKey="Vahdaninia, M" uniqKey="Vahdaninia M">M Vahdaninia</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Pourmalek, F" uniqKey="Pourmalek F">F Pourmalek</name>
</author>
<author>
<name sortKey="Abolhassani, F" uniqKey="Abolhassani F">F Abolhassani</name>
</author>
<author>
<name sortKey="Naghavi, M" uniqKey="Naghavi M">M Naghavi</name>
</author>
<author>
<name sortKey="Mohammad, K" uniqKey="Mohammad K">K Mohammad</name>
</author>
<author>
<name sortKey="Majdzadeh, R" uniqKey="Majdzadeh R">R Majdzadeh</name>
</author>
<author>
<name sortKey="Holakouie Naeini, K" uniqKey="Holakouie Naeini K">K Holakouie Naeini</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Giannakopoulos, G" uniqKey="Giannakopoulos G">G Giannakopoulos</name>
</author>
<author>
<name sortKey="Tzavara, C" uniqKey="Tzavara C">C Tzavara</name>
</author>
<author>
<name sortKey="Dimitrakaki, C" uniqKey="Dimitrakaki C">C Dimitrakaki</name>
</author>
<author>
<name sortKey="Ravens Sieberer, U" uniqKey="Ravens Sieberer U">U Ravens-Sieberer</name>
</author>
<author>
<name sortKey="Tountas, Y" uniqKey="Tountas Y">Y Tountas</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hosseinpoor, Ar" uniqKey="Hosseinpoor A">AR Hosseinpoor</name>
</author>
<author>
<name sortKey="Naghavi, M" uniqKey="Naghavi M">M Naghavi</name>
</author>
<author>
<name sortKey="Alavian, Sm" uniqKey="Alavian S">SM Alavian</name>
</author>
<author>
<name sortKey="Speybroeck, N" uniqKey="Speybroeck N">N Speybroeck</name>
</author>
<author>
<name sortKey="Jamshidi, H" uniqKey="Jamshidi H">H Jamshidi</name>
</author>
<author>
<name sortKey="Vega, J" uniqKey="Vega J">J Vega</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Vyas, S" uniqKey="Vyas S">S Vyas</name>
</author>
<author>
<name sortKey="Kumaranayake, L" uniqKey="Kumaranayake L">L Kumaranayake</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Andersen, R" uniqKey="Andersen R">R Andersen</name>
</author>
<author>
<name sortKey="Newman, Jf" uniqKey="Newman J">JF Newman</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Houweling, Ta" uniqKey="Houweling T">TA Houweling</name>
</author>
<author>
<name sortKey="Kunst, Ae" uniqKey="Kunst A">AE Kunst</name>
</author>
<author>
<name sortKey="Mackenbach, Jp" uniqKey="Mackenbach J">JP Mackenbach</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Singh, Ja" uniqKey="Singh J">JA Singh</name>
</author>
<author>
<name sortKey="Sarkin, A" uniqKey="Sarkin A">A Sarkin</name>
</author>
<author>
<name sortKey="Shieh, M" uniqKey="Shieh M">M Shieh</name>
</author>
<author>
<name sortKey="Khanna, D" uniqKey="Khanna D">D Khanna</name>
</author>
<author>
<name sortKey="Terkeltaub, R" uniqKey="Terkeltaub R">R Terkeltaub</name>
</author>
<author>
<name sortKey="Lee, Sj" uniqKey="Lee S">SJ Lee</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hosseinpoor, Ar" uniqKey="Hosseinpoor A">AR Hosseinpoor</name>
</author>
<author>
<name sortKey="Mohammad, K" uniqKey="Mohammad K">K Mohammad</name>
</author>
<author>
<name sortKey="Majdzadeh, R" uniqKey="Majdzadeh R">R Majdzadeh</name>
</author>
<author>
<name sortKey="Naghavi, M" uniqKey="Naghavi M">M Naghavi</name>
</author>
<author>
<name sortKey="Abolhassani, F" uniqKey="Abolhassani F">F Abolhassani</name>
</author>
<author>
<name sortKey="Sousa, A" uniqKey="Sousa A">A Sousa</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Howe, Ld" uniqKey="Howe L">LD Howe</name>
</author>
<author>
<name sortKey="Hargreaves, Jr" uniqKey="Hargreaves J">JR Hargreaves</name>
</author>
<author>
<name sortKey="Huttly, Sr" uniqKey="Huttly S">SR Huttly</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hanley, Ja" uniqKey="Hanley J">JA Hanley</name>
</author>
<author>
<name sortKey="Negassa, A" uniqKey="Negassa A">A Negassa</name>
</author>
<author>
<name sortKey="Edwardes, M" uniqKey="Edwardes M">M Edwardes</name>
</author>
<author>
<name sortKey="Forrester, Je" uniqKey="Forrester J">JE Forrester</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Horton, Nj" uniqKey="Horton N">NJ Horton</name>
</author>
<author>
<name sortKey="Lipsitz, Sr" uniqKey="Lipsitz S">SR Lipsitz</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Alio, Ap" uniqKey="Alio A">AP Alio</name>
</author>
<author>
<name sortKey="Daley, Em" uniqKey="Daley E">EM Daley</name>
</author>
<author>
<name sortKey="Nana, Pn" uniqKey="Nana P">PN Nana</name>
</author>
<author>
<name sortKey="Duan, J" uniqKey="Duan J">J Duan</name>
</author>
<author>
<name sortKey="Salihu, Hm" uniqKey="Salihu H">HM Salihu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gerritsen, Aa" uniqKey="Gerritsen A">AA Gerritsen</name>
</author>
<author>
<name sortKey="Bramsen, I" uniqKey="Bramsen I">I Bramsen</name>
</author>
<author>
<name sortKey="Deville, W" uniqKey="Deville W">W Deville</name>
</author>
<author>
<name sortKey="Van Willigen, Lh" uniqKey="Van Willigen L">LH van Willigen</name>
</author>
<author>
<name sortKey="Hovens, Je" uniqKey="Hovens J">JE Hovens</name>
</author>
<author>
<name sortKey="Van Der Ploeg, Hm" uniqKey="Van Der Ploeg H">HM van der Ploeg</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mendoza Sassi, R" uniqKey="Mendoza Sassi R">R Mendoza-Sassi</name>
</author>
<author>
<name sortKey="Beria, Ju" uniqKey="Beria J">JU Beria</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Vingilis, E" uniqKey="Vingilis E">E Vingilis</name>
</author>
<author>
<name sortKey="Wade, T" uniqKey="Wade T">T Wade</name>
</author>
<author>
<name sortKey="Seeley, J" uniqKey="Seeley J">J Seeley</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kushel, Mb" uniqKey="Kushel M">MB Kushel</name>
</author>
<author>
<name sortKey="Vittinghoff, E" uniqKey="Vittinghoff E">E Vittinghoff</name>
</author>
<author>
<name sortKey="Haas, Js" uniqKey="Haas J">JS Haas</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Commision On Social Determinants Of Health" uniqKey="Commision On Social Determinants Of Health">Commision on Social Determinants of Health.</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Iran Red Crescent Med J</journal-id>
<journal-id journal-id-type="iso-abbrev">Iran Red Crescent Med J</journal-id>
<journal-id journal-id-type="doi">10.5812/ircmj</journal-id>
<journal-id journal-id-type="publisher-id">Kowsar</journal-id>
<journal-title-group>
<journal-title>Iranian Red Crescent Medical Journal</journal-title>
</journal-title-group>
<issn pub-type="ppub">2074-1804</issn>
<issn pub-type="epub">2074-1812</issn>
<publisher>
<publisher-name>Kowsar</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">24349720</article-id>
<article-id pub-id-type="pmc">3838642</article-id>
<article-id pub-id-type="doi">10.5812/ircmj.3525</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Determinants of Inequity in Health Care Services Utilization in Markazi Province of Iran</article-title>
<alt-title alt-title-type="short">Inequity in Utilization of Health Care Services</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hassanzadeh</surname>
<given-names>Jafar</given-names>
</name>
<xref ref-type="aff" rid="aff15479">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mohammadbeigi</surname>
<given-names>Abolfazl</given-names>
</name>
<xref ref-type="aff" rid="aff16092">2</xref>
<xref ref-type="corresp" rid="cor15480">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Eshrati</surname>
<given-names>Babak</given-names>
</name>
<xref ref-type="aff" rid="aff15481">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rezaianzadeh</surname>
<given-names>Abbas</given-names>
</name>
<xref ref-type="aff" rid="aff15479">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rajaeefard</surname>
<given-names>Abdolreza</given-names>
</name>
<xref ref-type="aff" rid="aff15479">1</xref>
</contrib>
</contrib-group>
<aff id="aff15479">
<label>1</label>
Department of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran</aff>
<aff id="aff16092">
<label>2</label>
Department of Epidemiology, School of Health, Qom University of Medical Sciences, Qom, IR Iran</aff>
<aff id="aff15481">
<label>3</label>
Department of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, IR Iran</aff>
<author-notes>
<corresp id="cor15480">
<label>*</label>
Corresponding author: Abolfazl Mohammadbeigi, Department of Epidemiology, School of Health, Qom University of Medical Sciences, Qom, IR Iran. Tel: +98-25-37835522, E-mail:
<email>dr.m.beigi@gmail.com</email>
.</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>5</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="ppub">
<month>5</month>
<year>2013</year>
</pub-date>
<volume>15</volume>
<issue>5</issue>
<fpage>363</fpage>
<lpage>370</lpage>
<history>
<date date-type="received">
<day>13</day>
<month>11</month>
<year>2011</year>
</date>
<date date-type="rev-recd">
<day>27</day>
<month>2</month>
<year>2012</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>3</month>
<year>2012</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2013, Iranian Red Crescent Medical Journal</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>National and international statistics from Iran have indicated that progresses and achievements have been made for most health indicators, but there are differences in some indicators in special groups and at the provincial level.</p>
</sec>
<sec>
<title>Objectives</title>
<p>Our aim was to assess the main predictors of inequity in seeking Health Care Utilities (HCU) locally.</p>
</sec>
<sec>
<title>Patients and Methods</title>
<p>Data gathered from the HCU survey, which was conducted in the Markazi province of Iran during 2008, was used in the present study. A systematic sampling method, based on the Iranian household framework, was applied in order to choose 758 households as well as 2711 individuals. The household wealth index constructed by Principle Component Analysis (PCA) and robust login link function in Generalized Estimation Equation (GEE) model were used in order to determine the predictors of inequity.</p>
</sec>
<sec>
<title>Results</title>
<p>66.4% of those in need sought outpatient health care from which 97.7% received appropriate services. After adjustment for the clustering effect of household as well as confounding effect of the covariates, GEE model showed that there were inequities in HCU for females (OR = 2.44, CI; 1.24- 4.81) and subjects with inpatient need (OR = 2.14, CI: 1.23-3.72). Being in the lowest quintile of household wealth index was associated with the lower use of outpatient health services (OR = 0.45, CI; 0.23- 0.88).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>In spite of improvements in the national health indicator, different groups of people use health care services differently, but these inequities in HCU are related to social and individual factors. Also, it is clear that health sector facilities and the accessibility to health services are not the only predictors.</p>
</sec>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>Quality Indicators, Health Care</kwd>
<kwd>Utilization</kwd>
<kwd>Iran</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="sec15517">
<title>1. Background</title>
<p>Equal access for equal need is defined as equity (
<xref ref-type="bibr" rid="A3525R1">1</xref>
). It is widely recognized that health systems are highly important determinants for improvement of the population health and performance (
<xref ref-type="bibr" rid="A3525R2">2</xref>
). One of the most important duties of health organizations and authorities is complete coverage as well as preparation of sufficient and cost effective health care (
<xref ref-type="bibr" rid="A3525R3">3</xref>
). In Iran, the 29th article of the constitution states that every Iranian has the right to utilize the highest attainable level of health that the Ministry of Health and Medical Education – the executor of this goal – entrusts to the medical universities at the provincial level (
<xref ref-type="bibr" rid="A3525R4">4</xref>
). After the revolution, the coverage of social insurance was increased in Iran which resulted in an improvement in both access and accessibility to health services for over 90% of the population (
<xref ref-type="bibr" rid="A3525R5">5</xref>
). Health care and public health services have been presented to people through a health net, which provides primary, secondary, and tertiary health services. In addition to public sectors, private sectors have a significant role in secondary and tertiary health as well as non-governmental organization work in health activities of special fields (
<xref ref-type="bibr" rid="A3525R4">4</xref>
). National and international statistics from Iran indicated that progresses and achievements have been made in most health indicators such as the coverage of vaccination, life expectancy, infant and prenatal mortality ratios, the proportion of births attended by skilled health personnel, safe injection, combating infectious diseases such as Malaria, TB, and HIV/AIDS, as well as other indicators (
<xref ref-type="bibr" rid="A3525R3">3</xref>
,
<xref ref-type="bibr" rid="A3525R4">4</xref>
,
<xref ref-type="bibr" rid="A3525R6">6</xref>
-
<xref ref-type="bibr" rid="A3525R10">10</xref>
). Although public and private health sectors’ activities have improved some health indicators and despite the achievements of the Millennium Development Goals (MDGs) at the national level, there are differences at the provincial level in some indicators (
<xref ref-type="bibr" rid="A3525R11">11</xref>
-
<xref ref-type="bibr" rid="A3525R15">15</xref>
). Therefore, serious attempts should be taken into consideration in order to fully improve and achieve the MDG (
<xref ref-type="bibr" rid="A3525R8">8</xref>
,
<xref ref-type="bibr" rid="A3525R13">13</xref>
). Health care utilization (HCU) is one of the indicators in which – despite the universal coverage and provision –inequities still exist throughout the whole country as well as among the provinces (
<xref ref-type="bibr" rid="A3525R16">16</xref>
,
<xref ref-type="bibr" rid="A3525R17">17</xref>
). Based on the results of other studies, a number of predisposing factors such as sex, location of dwelling, occupation and education, enabling factors e.g. health insurance coverage, distance and availability of health care system, and factors related to the need for health care have been recognized as significant determinants of HCU (
<xref ref-type="bibr" rid="A3525R15">15</xref>
,
<xref ref-type="bibr" rid="A3525R18">18</xref>
,
<xref ref-type="bibr" rid="A3525R19">19</xref>
). Another classification has categorized these factors into three main categories: demographic/socio-economic, personal and parental/family characteristics (
<xref ref-type="bibr" rid="A3525R18">18</xref>
,
<xref ref-type="bibr" rid="A3525R19">19</xref>
). It has been assumed that these factors could create inequities in different groups of people. However, one of the most important factors, which are related to HCU is the socioeconomic position (
<xref ref-type="bibr" rid="A3525R19">19</xref>
,
<xref ref-type="bibr" rid="A3525R20">20</xref>
). However, utilization of health care services can be considered as a type of individual behavior; consequently, most researchers have paid much attention to individual characteristics and have been less concerned about the impact of societal factors (
<xref ref-type="bibr" rid="A3525R21">21</xref>
). Recently, decrease of health inequities in countries, especially in developing countries, has become a major objective for policy makers in national governments and international organizations. Determination of these disparities and differences as well as their extensiveness is a prerequisite for achieving this goal (
<xref ref-type="bibr" rid="A3525R22">22</xref>
). In addition to inequity, monitoring and identification of health utilities and resources is necessary due to rapid increase in costs of medical care (
<xref ref-type="bibr" rid="A3525R23">23</xref>
). Results of a study showed that there was an inequity in infant mortality at the provincial level in Iran, and that the Markazi province experienced a high inequity (
<xref ref-type="bibr" rid="A3525R24">24</xref>
).</p>
</sec>
<sec id="sec15518">
<title>2. Objectives</title>
<p>The aim of this study was to assess the main socioeconomic and demographic determinants for seeking HCU in the local level rather than the entire country in order to find the main factors, which contribute to inequity.</p>
</sec>
<sec id="sec15523">
<title>3. Patients and Methods</title>
<sec id="sec15519">
<title>3.1. Study Setting</title>
<p>This cross sectional study was conducted in the Markazi province, which has ten cities and is located in the center of Iran, 293 km southwest of Tehran, the capital (
<xref ref-type="bibr" rid="A3525R12">12</xref>
). According to the latest census, 1,351,257 people including 682,367 males (50.49%) and 668,890 females (49.51%) live in this province (
<xref ref-type="bibr" rid="A3525R25">25</xref>
). This study was conducted in all cities and a number of villages for a duration of two weeks from 16 February to 1 March 2008, based on the sampling schedule (
<xref ref-type="bibr" rid="A3525R26">26</xref>
).</p>
</sec>
<sec id="sec15520">
<title>3.2. Subjects and Sampling</title>
<p>The data for the present study was gathered from the national HCU survey, which was conducted in 2008 in the Markazi province, Iran. Systematic sampling method was used to choose 760 households living in this province. The sampling method was based on the Iranian household framework available from the Health Promotion and Network Development Center of Ministry of Health and Medical Education (
<xref ref-type="bibr" rid="A3525R26">26</xref>
). In the selected households, all members were interviewed and finally data from 2711 individuals were recorded in pre-coded and pretested questionnaires (
<xref ref-type="bibr" rid="A3525R26">26</xref>
). In order to gather the data from subjects under 15 years old, interviewers had to contact their parents; therefore, these subjects were excluded from the study. Also written informed consent was taken from all of the subjects and the Ethics Committee in MHME approved the research protocol.</p>
</sec>
<sec id="sec15521">
<title>3.3. Instrument </title>
<p>The data was collected using a valid and reliable questionnaire. This questionnaire was used for the latest HCU survey of Iran in 2002 and was revised with regards to its advantages and disadvantages. The questionnaire included some individual factors such as age, sex, marital status, job, education, socio-economic factors such as income level, and a list of assets which were used for factor analysis. In addition, seeking outpatient health services (including any type of health care such as primary health, dentistry, specialist, laboratory, et.) by people with outpatient needs within the two weeks before the interview was the outcome variable. All 15 or more years old subjects were interviewed by trained interviewers (
<xref ref-type="bibr" rid="A3525R26">26</xref>
).</p>
</sec>
<sec id="sec15522">
<title>3.4. Statistical Analysis and Creation of the Household Wealth Index</title>
<p>The statistical process was done in three steps. First, we used the Principle Component Analysis (PCA) method to construct a household wealth index – based on recommendations of other studies (
<xref ref-type="bibr" rid="A3525R20">20</xref>
,
<xref ref-type="bibr" rid="A3525R22">22</xref>
,
<xref ref-type="bibr" rid="A3525R27">27</xref>
). It was assumed that the economical status of a household reflects the socioeconomic situation of the subjects under study, thus this was the first component to be considered (
<xref ref-type="bibr" rid="A3525R20">20</xref>
). Due to the fact that the asset data are claimed to be more reliable than other variables such as income or expenditure (
<xref ref-type="bibr" rid="A3525R27">27</xref>
), data from the twenty five asset variables were gathered and used in the factor analysis of the present study. Number of people per number of rooms per capita, having a separate kitchen, bathroom, toilet, fully hygienic toilet, using the kitchen stove, safe heating and cooling devices, having living facilities including fridge, freezer, refrigerator, television (black and white, color, or LCD), mobile phone, clothes and dish washing machines, microwave, vacuum cleaner, computer, Internet access at home, motorcycle, car, own villa and own house were the asset variables which were included in the PCA. Scores from this primary assessment were sorted in an ascending manner. After calculating the quintiles, the lowest quintile was considered as the poorest, while the highest quintile was considered as the richest one. Second, the outcome variable was considered as a binary variable for seeking outpatient health services within two weeks prior to the interview. In this way, the percentage of the subjects who were seeking outpatient services to those who needed them was obtained. Finally, the robust logit link in the Generalized Estimation Equation (GEE) model with the exchangeable correlation matrix was used for computing the Odds Ratio (OR) as well as their 95% confidence interval (95% CI) and was applied for interpretation of the results. Robust logistic regression in the GEE model was used to adjust the clustering effect of sampling units and remove the correlation of the subjects (
<xref ref-type="bibr" rid="A3525R28">28</xref>
,
<xref ref-type="bibr" rid="A3525R29">29</xref>
). The GEE model considered two sources of variances in obtaining the estimates; the interacluster and intercluster variances (
<xref ref-type="bibr" rid="A3525R30">30</xref>
). In the GEE model, we included all socio-demographic characteristics which had a significant relationship with seeking out-patient health services in addition to those variables which had a significance probability lower than 0.35. Income level variable, however, was excluded from the model because it had a significant correlation with the household wealth index (r = 0.548, P < 0.001). We conducted all statistical analyses using the STATA statistical package (10.0). All tests were considered as two-tail and P values below 0.05 were considered as statistically significant.</p>
</sec>
</sec>
<sec id="sec15524">
<title>4. Results</title>
<p>The response rate was 99.7%, and from all 2711 subjects who were interviewed, 2131 were 15 or older and, consequently, were included in the analysis. From the 2131 subjects, 779 needed outpatient health care. It was reported that 66.4% (517 subjects) sought outpatient health care and 97.7% (503 subjects) received it. Among the subjects who were analyzed, 59.8% were females, 45.3% lived in cities, and 73.4% were married. The mean of age and years of education of the participants was 45.33 ± 19.4 years old and 5.63 ± 5.13 years, respectively.
<xref ref-type="table" rid="tbl4497">Table 1</xref>
summarizes the findings of the bivariate analysis of socio demographic characteristics of the two group of subjects based on seeking outpatient health services. The results show that subjects that were female and had a higher household wealth index, fewer years of education, higher income level, as well as those who were insured tended to use the outpatient health services more than other subjects. Also, In-patient need was significantly related to seeking outpatient health services (P < 0.05); so that inpatient need increased outpatient utilization of health care services. However, no significant relationship was found between seeking outpatient health services and marital status, age group, supplementary insurance, insurance validity, location of dwelling, and the subjects’ job (P > 0.05).
<xref ref-type="table" rid="tbl4498">Table 2</xref>
provides the crude and the adjusted estimates of the relationship between seeking outpatient health services and the related factors. Unadjusted OR for the variables of sex, household wealth index, and inpatient need was significant in the GEE model after removing the clustering effect of the sampling method. The multivariate analysis, also showed that only three variables have significant relationships with seeking outpatient health services after adjusting the effect of other variables. According to the GEE estimates, the likelihood of seeking outpatient health services in females was 2.4 folds higher than that of males (OR = 2.44, CI; 1.24- 4.81). Inpatient need for health care services increases the likelihood of seeking outpatient health services by 2.1 folds (OR = 2.14, CI: 1.23-3.72). The relationship between seeking outpatient health services and quintile of household wealth index showed that the subjects in the first quintile had 55% lower likelihood than the subjects in the fifth quintile (OR = 0.45, CI; 0.23- 0.88). </p>
<table-wrap id="tbl4497" orientation="portrait" position="float">
<label>Table 1.</label>
<caption>
<title>Univariate Analysis of Socio-Demographic Characteristics and Seeking out-Patient Health Services of the Subjects Under Study </title>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" style="border-bottom:solid thin;" rowspan="1" colspan="1">Variables</th>
<th colspan="2" align="center" style="border-bottom:solid thin;" rowspan="1">Seeking Out-patient Care, No. (%)</th>
<th align="left" style="border-bottom:solid thin;" rowspan="1" colspan="1">P Value</th>
</tr>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1">No</th>
<th align="left" rowspan="1" colspan="1">Yes</th>
<th rowspan="1" colspan="1"></th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="1" colspan="1">
<bold>Sex</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.004
<sup>
<xref ref-type="table-fn" rid="fn2830">a</xref>
</sup>
</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Male</td>
<td rowspan="1" colspan="1">39.3 (123)</td>
<td rowspan="1" colspan="1">60.7 (190)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Female</td>
<td rowspan="1" colspan="1">29.8 (139)</td>
<td rowspan="1" colspan="1">70.2 (327)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Marital status</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.90</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Married</td>
<td rowspan="1" colspan="1">33.6 (192)</td>
<td rowspan="1" colspan="1">66.4 (380)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Divorced and widow</td>
<td rowspan="1" colspan="1">35.1(27)</td>
<td rowspan="1" colspan="1">64.9 (50)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Never married</td>
<td rowspan="1" colspan="1">33.1(43)</td>
<td rowspan="1" colspan="1">66.9 (87)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Household wealth index</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.006
<sup>
<xref ref-type="table-fn" rid="fn2831">b</xref>
</sup>
</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">1 St Quintile</td>
<td rowspan="1" colspan="1">44.4 (69)</td>
<td rowspan="1" colspan="1">55.8 (87)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">2nd Quintile</td>
<td rowspan="1" colspan="1">36.5 (57)</td>
<td rowspan="1" colspan="1">63.5 (99)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">3rd Quintile</td>
<td rowspan="1" colspan="1">31.4 (49)</td>
<td rowspan="1" colspan="1">68.6 (107)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">4th Quintile</td>
<td rowspan="1" colspan="1">30.8 (48)</td>
<td rowspan="1" colspan="1">69.2 (108)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">5th Quintile</td>
<td rowspan="1" colspan="1">25.2 (39)</td>
<td rowspan="1" colspan="1">74.8 (116)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Age Group</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.124</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">15-29</td>
<td rowspan="1" colspan="1">28.3 (58)</td>
<td rowspan="1" colspan="1">71.7 (147)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">30-44</td>
<td rowspan="1" colspan="1">32.3 (65)</td>
<td rowspan="1" colspan="1">67.7 (136)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">45-59</td>
<td rowspan="1" colspan="1">39.6 (67)</td>
<td rowspan="1" colspan="1">60.4 (102)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">60 and Upper</td>
<td rowspan="1" colspan="1">35.3 (72)</td>
<td rowspan="1" colspan="1">64.7 (132)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>The insured</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.028
<sup>
<xref ref-type="table-fn" rid="fn2831">b</xref>
</sup>
</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Yes</td>
<td rowspan="1" colspan="1">32.3 (219)</td>
<td rowspan="1" colspan="1">67.7 (459)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">No</td>
<td rowspan="1" colspan="1">42.6 (43)</td>
<td rowspan="1" colspan="1">57.4 (58)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Supplementary Insured</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.528</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Yes</td>
<td rowspan="1" colspan="1">32.2 (28)</td>
<td rowspan="1" colspan="1">67.5 (392)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">No</td>
<td rowspan="1" colspan="1">67.8 (59)</td>
<td rowspan="1" colspan="1">32.5 (189)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Insurance Validity</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.186</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Yes</td>
<td rowspan="1" colspan="1">31.7 (200)</td>
<td rowspan="1" colspan="1">68.3 (430)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">No</td>
<td rowspan="1" colspan="1">39.5 (17)</td>
<td rowspan="1" colspan="1">60.5 (26)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Location</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.218</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1"> City </td>
<td rowspan="1" colspan="1">31.4 (111)</td>
<td rowspan="1" colspan="1">68.6 (242)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1"> Rural (main) </td>
<td rowspan="1" colspan="1">36.5 (137)</td>
<td rowspan="1" colspan="1">63.5 (238)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Years of education</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.028
<sup>
<xref ref-type="table-fn" rid="fn2831">b</xref>
</sup>
</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">None (illiterature)</td>
<td rowspan="1" colspan="1">37.1 (95)</td>
<td rowspan="1" colspan="1">62.9 (161)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">1-5 (primary school)</td>
<td rowspan="1" colspan="1">31.1 (56)</td>
<td rowspan="1" colspan="1">68.9 (124)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">6-10 (guidance and high school)</td>
<td style="text-align: left; vertical-align: top" rowspan="1" colspan="1">38 (63)</td>
<td style="text-align: left; vertical-align: top" rowspan="1" colspan="1">62 (103)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Pre-university or Diploma</td>
<td style="text-align: left; vertical-align: top" rowspan="1" colspan="1">20.8 (21)</td>
<td style="text-align: left; vertical-align: top" rowspan="1" colspan="1">72.9 (80)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">College and seminary</td>
<td rowspan="1" colspan="1">35.5 (27)</td>
<td rowspan="1" colspan="1">65.5 (49)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Job</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.312</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Employed</td>
<td rowspan="1" colspan="1">38.8 (88)</td>
<td rowspan="1" colspan="1">61.2 (139)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Housewife or retired</td>
<td rowspan="1" colspan="1">31.5 (136)</td>
<td rowspan="1" colspan="1">68.5 (296)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Student</td>
<td rowspan="1" colspan="1">32.8 (19)</td>
<td rowspan="1" colspan="1">67.2 (39)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Unemployed</td>
<td rowspan="1" colspan="1">34.6 (18)</td>
<td rowspan="1" colspan="1">65.4 (34)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Income</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.003
<sup>
<xref ref-type="table-fn" rid="fn2831">b</xref>
</sup>
</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Lower 200 $</td>
<td rowspan="1" colspan="1">39.7 (152)</td>
<td rowspan="1" colspan="1">60.3 (231)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">200-500 $</td>
<td rowspan="1" colspan="1">28 (94)</td>
<td rowspan="1" colspan="1">72 (242)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Upper 500 $</td>
<td rowspan="1" colspan="1">29.4 (15)</td>
<td rowspan="1" colspan="1">70.6 (36)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>In-patient need</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">0.006
<sup>
<xref ref-type="table-fn" rid="fn2831">b</xref>
</sup>
</td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">Yes</td>
<td rowspan="1" colspan="1">24.7 (37)</td>
<td rowspan="1" colspan="1">75.3 (113)</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left: 20pt;" rowspan="1" colspan="1">No</td>
<td rowspan="1" colspan="1">35.8(225)</td>
<td rowspan="1" colspan="1">64.2 (404)</td>
<td rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fn2830">
<p>
<sup>a</sup>
Based on chi-square test</p>
</fn>
<fn id="fn2831">
<p>
<sup>b</sup>
Significant at the P < 0.05</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tbl4498" orientation="portrait" position="float">
<label>Table 2.</label>
<caption>
<title>Crude and Adjusted or For Seeking Outpatient Health Services In GEE Model</title>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" style="border-bottom:solid thin;" rowspan="1" colspan="1">Variables</th>
<th colspan="2" align="center" style="border-bottom:solid thin;" rowspan="1">Crude
<sup>
<xref ref-type="table-fn" rid="fn2832">a</xref>
</sup>
</th>
<th colspan="2" align="center" style="border-bottom:solid thin;" rowspan="1">Adjusted
<sup>
<xref ref-type="table-fn" rid="fn2833">b</xref>
</sup>
</th>
</tr>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1">OR (95% CI)</th>
<th align="left" rowspan="1" colspan="1">P value</th>
<th align="left" rowspan="1" colspan="1">OR (95% CI )</th>
<th align="left" rowspan="1" colspan="1">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="1" colspan="1">
<bold>Gender</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Female </td>
<td rowspan="1" colspan="1">1.6 (1.15- 3.17)</td>
<td rowspan="1" colspan="1">< 0.0001</td>
<td rowspan="1" colspan="1">2.44 (1.24- 4.81)</td>
<td rowspan="1" colspan="1">0.010</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Household wealth index</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">1 St Quintile </td>
<td rowspan="1" colspan="1">0.51(0.3-1.35)</td>
<td rowspan="1" colspan="1">0.011</td>
<td rowspan="1" colspan="1">0.45 (0.23- 0.88)</td>
<td rowspan="1" colspan="1">0.019</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">2nd Quintile </td>
<td rowspan="1" colspan="1">0.65 (0.38 -1.47)</td>
<td rowspan="1" colspan="1">0.101</td>
<td rowspan="1" colspan="1">0.68 (0.37-1.27)</td>
<td rowspan="1" colspan="1">0.229</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">3rd Quintile </td>
<td rowspan="1" colspan="1">0.83 (0.49- 1.63)</td>
<td rowspan="1" colspan="1">0.503</td>
<td rowspan="1" colspan="1">0.76 (0.41-1.42)</td>
<td rowspan="1" colspan="1">0.386</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">4th Quintile </td>
<td rowspan="1" colspan="1">0.79 (0.47-1.6)</td>
<td rowspan="1" colspan="1">0.382</td>
<td rowspan="1" colspan="1">0.77 (0.42-1.41)</td>
<td rowspan="1" colspan="1">0.398</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">5th Quintile </td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>In-patient need</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Having </td>
<td rowspan="1" colspan="1">2.02 (1.24-3.47)</td>
<td rowspan="1" colspan="1">< 0.0001</td>
<td rowspan="1" colspan="1">2.14 (1.23-3.72)</td>
<td rowspan="1" colspan="1">0.007</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Validity of insurance</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Having </td>
<td rowspan="1" colspan="1">1.19 (0.6-1.82)</td>
<td rowspan="1" colspan="1">0.609</td>
<td rowspan="1" colspan="1">1.09 (0.54- 2.21)</td>
<td rowspan="1" colspan="1">0.809</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Place of Residency</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">City </td>
<td rowspan="1" colspan="1">1.23 (0.89-2.43)</td>
<td rowspan="1" colspan="1">0.207</td>
<td rowspan="1" colspan="1">1.2 (0.77-1.85)</td>
<td rowspan="1" colspan="1">0.423</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Years of education</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">None (illiterate) </td>
<td rowspan="1" colspan="1">0.97 (0.53-1.71)</td>
<td rowspan="1" colspan="1">0.919</td>
<td rowspan="1" colspan="1">1.38 (0.56-3.42)</td>
<td rowspan="1" colspan="1">0.491</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">1-5 (primary school) </td>
<td rowspan="1" colspan="1">1 (0.54-1.72)</td>
<td rowspan="1" colspan="1">0.991</td>
<td rowspan="1" colspan="1">1.32 (0.6 -2.92)</td>
<td rowspan="1" colspan="1">0.496</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">6-10 (guidance and high school) </td>
<td rowspan="1" colspan="1">0.74 (0.4-1.49)</td>
<td rowspan="1" colspan="1">0.332</td>
<td rowspan="1" colspan="1">0.98 (0.46-2.06)</td>
<td rowspan="1" colspan="1">0.953</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Pre-university or Diploma </td>
<td rowspan="1" colspan="1">1.69 (0.82- 2.27)</td>
<td rowspan="1" colspan="1">0.155</td>
<td rowspan="1" colspan="1">1.71 (0.72-4.06)</td>
<td rowspan="1" colspan="1">0.226</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">College and seminary </td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Age Group, y</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">15-29 </td>
<td rowspan="1" colspan="1">1.12 (0.71-2.03)</td>
<td rowspan="1" colspan="1">0.624</td>
<td rowspan="1" colspan="1">0.99 (0.45-2.16)</td>
<td rowspan="1" colspan="1">0.974</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">30-44 </td>
<td rowspan="1" colspan="1">0.94 (0.59-1.81)</td>
<td rowspan="1" colspan="1">0.778</td>
<td rowspan="1" colspan="1">0.85 (0.44-1.68)</td>
<td rowspan="1" colspan="1">0.649</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">45-60 </td>
<td rowspan="1" colspan="1">0.77 (0.48-1.61)</td>
<td rowspan="1" colspan="1">0.281</td>
<td rowspan="1" colspan="1">0.72 (.41-1.28)</td>
<td rowspan="1" colspan="1">0.266</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Upper 60 </td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<bold>Job</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Employed </td>
<td rowspan="1" colspan="1">0.88 (0.43-1.54)</td>
<td rowspan="1" colspan="1">0.718</td>
<td rowspan="1" colspan="1">0.57 (0.21-1.55)</td>
<td rowspan="1" colspan="1">0.273</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Housewife or retired </td>
<td rowspan="1" colspan="1">1.17 (0.59-1.81)</td>
<td rowspan="1" colspan="1">0.656</td>
<td rowspan="1" colspan="1">0.35 (0.12-1.09)</td>
<td rowspan="1" colspan="1">0.070</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Student </td>
<td rowspan="1" colspan="1">0.99 (0.42-1.52)</td>
<td rowspan="1" colspan="1">0.975</td>
<td rowspan="1" colspan="1">0.50 (0.15-1.67)</td>
<td rowspan="1" colspan="1">0.262</td>
</tr>
<tr>
<td style="padding-left:25pt" rowspan="1" colspan="1">Unemployed </td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1">1</td>
<td rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fn2832">
<p>
<sup>a</sup>
Adjusted estimates for clustering effect of sampling method</p>
</fn>
<fn id="fn2833">
<p>
<sup>b</sup>
Adjusted estimates for clustering effect of sampling method and all included covariates in the GEE model</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15525">
<title>5. Discussion</title>
<p>Our results showed that 66.4% of the subjects who needed outpatient care sought it and 97.7% of them were provided with the required services. This implies that we can consider seeking of outpatient care as the HCU. Another study (
<xref ref-type="bibr" rid="A3525R19">19</xref>
) which was conducted in Iran found these indicators to be 69.5% and 98%, respectively. Comparison of the results of the study performed in the Markazi province with those obtained from this national study showed that HCU in our study setting is the same as that of the whole country (
<xref ref-type="bibr" rid="A3525R19">19</xref>
). The data was first analyzed in a bivariate manner; and the results showed that sex, household wealth index, insurance, education, income and in-patient need are probably factors related to the HCU. But robust logistic regression showed that only sex, household wealth index and in-patient need are the significant determinants of HCU when adjustment has been done for other covariates. These results showed that there was evidence of inequity in different groups of people; in a way that being in the lowest household wealth index and of male sex decreased the use of health care, while being in need of inpatient services increased the likelihood of seeking or utilizing health care services. Our results is the same as that of other studies which reported a significant relationship between seeking health care services and sex (
<xref ref-type="bibr" rid="A3525R31">31</xref>
-
<xref ref-type="bibr" rid="A3525R33">33</xref>
), household wealth index (
<xref ref-type="bibr" rid="A3525R19">19</xref>
,
<xref ref-type="bibr" rid="A3525R32">32</xref>
,
<xref ref-type="bibr" rid="A3525R33">33</xref>
) and inpatient need (
<xref ref-type="bibr" rid="A3525R18">18</xref>
,
<xref ref-type="bibr" rid="A3525R33">33</xref>
,
<xref ref-type="bibr" rid="A3525R34">34</xref>
). No significant relationship was observed between seeking outpatient health care services and age (
<xref ref-type="bibr" rid="A3525R18">18</xref>
,
<xref ref-type="bibr" rid="A3525R19">19</xref>
,
<xref ref-type="bibr" rid="A3525R34">34</xref>
), education (
<xref ref-type="bibr" rid="A3525R34">34</xref>
), insurance, location of residence (
<xref ref-type="bibr" rid="A3525R18">18</xref>
,
<xref ref-type="bibr" rid="A3525R34">34</xref>
), marital status (
<xref ref-type="bibr" rid="A3525R18">18</xref>
,
<xref ref-type="bibr" rid="A3525R19">19</xref>
) and job. It is significant that in the study by Hosseinpoor et al. – the only published article on utilization of health care services in Iran, conducted during 2003 – job and location of residence were significant determinants (
<xref ref-type="bibr" rid="A3525R19">19</xref>
). These differences may be the result of a larger sample size in mobile/satellite rural people in the geographic location studied and, consequently, might have increased the power of the study for finding a significant relationship. Of course, the low coverage of insurance in rural areas during the studied year could have affected the inequity associated with geographic location. Another difference in the comparison between the study by Hosseinpoor et al. and the present research is that housewives were shown to have a significant relationship with seeking health care in the former, while sex was a significant predictor in the latter. This difference is due to the correlation between the two variables. In other words, one is the surrogate of the other. Also, it has been confirmed that the employees have less time than the unemployed for seeking health services (
<xref ref-type="bibr" rid="A3525R19">19</xref>
). Comparisons between significant variables of bivariate and multivariate analyses informs us about the utilization of health care services. In the bivariate associations, insurance, education, and income level were considered as likely related factors. However, after adjusting the covariate variables, no significant relationship was found between seeking care services and these variables, although we had excluded income due to its significant correlation with the household wealth index. Irrespective of the household wealth index, insurance could have affected seeking health care services. However, after controlling the household wealth status, this relationship was not shown to be significant (
<xref ref-type="bibr" rid="A3525R19">19</xref>
). Nevertheless, the relationship between education and household wealth index was clear in another study (
<xref ref-type="bibr" rid="A3525R21">21</xref>
). Due to this correlation, years of education, also, didn’t show a significant relationship with seeking outpatient health care services in the multiple regression analysis. It has been recognized that severe diseases increase the probability of hospitalization. It seems that inpatient need can be considered as a surrogate variable for severity or comorbidity of diseases (
<xref ref-type="bibr" rid="A3525R23">23</xref>
). Gerritsen et al. conducted a multi-ethnicity study on Afghan, Iranian, and Somali refugees and came to the conclusion that poor general health increases contact with medical specialists and utilization of health services (
<xref ref-type="bibr" rid="A3525R31">31</xref>
). Other studies have also mentioned a relationship between the severity of disease and the need for hospitalization with seeking and utilizing health services (
<xref ref-type="bibr" rid="A3525R18">18</xref>
,
<xref ref-type="bibr" rid="A3525R33">33</xref>
). Based on our results, no significant relationship was found between the place of dwelling and seeking health services, but another study which was conducted in Iran during 2003 obtained evidence of inequity in people who lived in rural areas (
<xref ref-type="bibr" rid="A3525R19">19</xref>
). In addition to living location, the relationship between seeking care and insurance has been shown by a number of studies (
<xref ref-type="bibr" rid="A3525R19">19</xref>
,
<xref ref-type="bibr" rid="A3525R32">32</xref>
,
<xref ref-type="bibr" rid="A3525R34">34</xref>
). This relationship was also observed in the crude analyses of the current study, but after adjusting other covariates, it was excluded from the determinant factors of the multivariate analyses. However, after the implementation of family physician program since 2005 and increasing the coverage of health insurance to over 90%, it is expected that the differences of personal density between urban and rural areas decrease and, as a result, rural people’s accessibility and utilization of health care services will increase and thus the inequity disappears (
<xref ref-type="bibr" rid="A3525R4">4</xref>
). However, it is probable for inequity to change this pattern; it seems that access and provision of universal health insurance cannot increase the utilization of health services but could lead to decrease in catastrophic expenditures of health care. Developing countries have tried to decrease some inequities by complete coverage of insurance and other facilities for people. However, another form of inequity has been observed in these countries: higher-income groups use higher form of medical specialist services while the lower-income groups use general physicians care more (
<xref ref-type="bibr" rid="A3525R1">1</xref>
). Although the current study showed that seeking outpatient care is related to other related factors beyond the scope of the health sector and health facilities, it has a limitation in determining the individual perception of health and health sectors. It has been mentioned that people need to pay more attention to HCU in other countries such as the USA. This attention is required because of a number of factors such as social and self-perceptions including additive consensus about the right of using health care for all, the population’s expectation of medical care, and the increased cost of medical care in private sectors (
<xref ref-type="bibr" rid="A3525R21">21</xref>
). Therefore, investigating the influence of beliefs related to health or understanding the utilization of health services is highly suggested for further studies. In the recent decades, Iran as well as the Markazi province experienced a rapid complex pattern of mortality and morbidity. Moreover, the health system will encounter more demands in future (
<xref ref-type="bibr" rid="A3525R3">3</xref>
,
<xref ref-type="bibr" rid="A3525R5">5</xref>
,
<xref ref-type="bibr" rid="A3525R9">9</xref>
). Therefore, the health sector needs to reform and prepare itself for new needs of the older population. The following intervention strategies are suggested for restructuring the health sector in Iran in order to achieve both equity and efficiency in health care services, these include: transition to a well-developed governance and a regulatory framework in the governance scope, increase and improvement in the delivery system of the primary health care (PHC) services and use of hospital care, pro-poor programs and interventions in order to decrease the income-related inequity for both urban and rural people, increasing the functions of quality insurance and improvement – especially for secondary level services –, and increase of insurance programs to reduce out of pocket payment (
<xref ref-type="bibr" rid="A3525R5">5</xref>
). In addition, the recent report by the Commission on Social Determinants of Health in 2008 has advised the equity issue for all policy developments such as the HCU (
<xref ref-type="bibr" rid="A3525R35">35</xref>
). In spite of the promotion of national health indicators and improvement in the quality and quantity of health care, there were evidences of inequity in health care utilization in different groups of people – especially males, those with low socioeconomic positions, and patients with mild diseases. Also, individual and social factors have been shown to impact health utilization and health sector facilities; and accessibility to health services is not the only predictor.</p>
</sec>
</body>
<back>
<ack>
<p>The present study is a part of the Ph.D thesis of A. Mohammadbeigi majoring in epidemiology. This research was financially supported by Shiraz University of Medical Sciences, department of research with approved No. 90-5902. The authors would like to thank all the interviewers and the participants who cooperated in data collection as well as all the engaged staff in Markazi Province department of health. Mr. M. Taheri is, also, appreciated for his ongoing assistance in the process of performing the research. The authors are also grateful for Research Improvement Center, Shiraz, Iran and Ms. A. Keivanshekouh for their cooperation in improving the use of English in the manuscript.</p>
</ack>
<fn-group>
<fn id="afn10211" fn-type="other">
<p>
<bold>Please cite this paper as:</bold>
</p>
<p>Hassanzadeh J, Mohammadbeigi A, Eshrati B, Rezaianzadeh A, Rajaeefard A. Determinants of Inequity in Health Care Services Utilization in Markazi Province of Iran. Iran Red Cres Med J. 2013;15(5):363-70. DOI: 10.5812/ircmj.3525</p>
</fn>
<fn id="afn10212" fn-type="other">
<p>
<bold>Authors’ Contribution:</bold>
</p>
<p>None declared.</p>
</fn>
<fn id="afn10213" fn-type="financial-disclosure">
<p>
<bold>Financial disclosure:</bold>
</p>
<p>None declared.</p>
</fn>
<fn id="afn10214" fn-type="other">
<p>
<bold>Funding support:</bold>
</p>
<p>Shiraz University of Medical Sciences.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="A3525R1">
<label>1</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>van Doorslaer</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Wagstaff</surname>
<given-names>A</given-names>
</name>
<name>
<surname>van der Burg</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Christiansen</surname>
<given-names>T</given-names>
</name>
<name>
<surname>De Graeve</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Duchesne</surname>
<given-names>I</given-names>
</name>
<etal>et al.</etal>
</person-group>
<article-title>Equity in the delivery of health care in Europe and the US.</article-title>
<source>J Health Econ.</source>
<year>2000</year>
<volume>19</volume>
<issue>5</issue>
<fpage>553</fpage>
<lpage>83</lpage>
<pub-id pub-id-type="pmid">11184794</pub-id>
</element-citation>
</ref>
<ref id="A3525R2">
<label>2</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lu</surname>
<given-names>JF</given-names>
</name>
<name>
<surname>Leung</surname>
<given-names>GM</given-names>
</name>
<name>
<surname>Kwon</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Tin</surname>
<given-names>KY</given-names>
</name>
<name>
<surname>Van Doorslaer</surname>
<given-names>E</given-names>
</name>
<name>
<surname>O'Donnell</surname>
<given-names>O</given-names>
</name>
</person-group>
<article-title>Horizontal equity in health care utilization evidence from three high-income Asian economies.</article-title>
<source>Soc Sci Med.</source>
<year>2007</year>
<volume>64</volume>
<issue>1</issue>
<fpage>199</fpage>
<lpage>212</lpage>
<pub-id pub-id-type="doi">10.1016/j.socscimed.2006.08.033</pub-id>
<pub-id pub-id-type="pmid">17014944</pub-id>
</element-citation>
</ref>
<ref id="A3525R3">
<label>3</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Soleymani</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Valadkhani</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Dinarvand</surname>
<given-names>R</given-names>
</name>
</person-group>
<article-title>Challenges and Achievements of Promoting Rational Use of Drugs in Iran.</article-title>
<source>Iranian J Publ Health.</source>
<year>2009</year>
<volume>38</volume>
<issue>Suppl. 1</issue>
<fpage>166</fpage>
<lpage>8</lpage>
</element-citation>
</ref>
<ref id="A3525R4">
<label>4</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mehrdad</surname>
<given-names>R</given-names>
</name>
</person-group>
<article-title>Health System in Iran.</article-title>
<source>JMAJ.</source>
<year>2009</year>
<volume>52</volume>
<issue>1</issue>
<fpage>69</fpage>
<lpage>73</lpage>
</element-citation>
</ref>
<ref id="A3525R5">
<label>5</label>
<element-citation publication-type="book">
<source>Islamic Republic of Iran Health Sector Review, Main Report.</source>
<year>2007</year>
<publisher-name>The World Bank Group-Human Development Sector-Middle East and North Africa</publisher-name>
</element-citation>
</ref>
<ref id="A3525R6">
<label>6</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Asadi-Lari</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Sayyari</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Akbari</surname>
<given-names>ME</given-names>
</name>
<name>
<surname>Gray</surname>
<given-names>D</given-names>
</name>
</person-group>
<article-title>Public health improvement in Iran--lessons from the last 20 years.</article-title>
<source>Public Health.</source>
<year>2004</year>
<volume>118</volume>
<issue>6</issue>
<fpage>395</fpage>
<lpage>402</lpage>
<pub-id pub-id-type="doi">10.1016/j.puhe.2004.05.011</pub-id>
<pub-id pub-id-type="pmid">15313592</pub-id>
</element-citation>
</ref>
<ref id="A3525R7">
<label>7</label>
<element-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Haghdoost</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Safizadeh</surname>
<given-names>H</given-names>
</name>
<name>
<surname>OLiaee Manesh</surname>
<given-names>AR</given-names>
</name>
<name>
<surname>Beheshtian</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Motlagh</surname>
<given-names>ME</given-names>
</name>
</person-group>
<source>Evaluation of Trend and documental analysis of country practices in elimination of poverty and estabilishment of equity in health after I.R.Iran revolution.</source>
<year>2010</year>
<publisher-loc>Tehran</publisher-loc>
<publisher-name>Ministry of Health and Medical Education</publisher-name>
</element-citation>
</ref>
<ref id="A3525R8">
<label>8</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Heidari</surname>
<given-names>GR</given-names>
</name>
<name>
<surname>Heidari</surname>
<given-names>RN</given-names>
</name>
</person-group>
<article-title>Iran Millennium Development Goal's in a Glance.</article-title>
<source>Iranian J Publ Health.</source>
<year>2009</year>
<volume>38</volume>
<issue>Suppl 1</issue>
<fpage>63</fpage>
<lpage>4</lpage>
</element-citation>
</ref>
<ref id="A3525R9">
<label>9</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khosravi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Taylor</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Naghavi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Lopez</surname>
<given-names>AD</given-names>
</name>
</person-group>
<article-title>Mortality in the Islamic Republic of Iran, 1964-2004.</article-title>
<source>Bull World Health Organ.</source>
<year>2007</year>
<volume>85</volume>
<issue>8</issue>
<fpage>607</fpage>
<lpage>14</lpage>
<pub-id pub-id-type="pmid">17768519</pub-id>
</element-citation>
</ref>
<ref id="A3525R10">
<label>10</label>
<element-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>WHO.</surname>
</name>
</person-group>
<source>World Health Statistics 2009.</source>
<year>2009</year>
<publisher-loc>Geneva</publisher-loc>
<publisher-name>WHO Press</publisher-name>
</element-citation>
</ref>
<ref id="A3525R11">
<label>11</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cheraghali</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Nikfar</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Behmanesh</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Rahimi</surname>
<given-names>V</given-names>
</name>
<name>
<surname>Habibipour</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Tirdad</surname>
<given-names>R</given-names>
</name>
<etal>et al.</etal>
</person-group>
<article-title>Evaluation of availability, accessibility and prescribing pattern of medicines in the Islamic Republic of Iran.</article-title>
<source>East Mediterr Health J.</source>
<year>2004</year>
<volume>10</volume>
<issue>3</issue>
<fpage>406</fpage>
<lpage>15</lpage>
<pub-id pub-id-type="pmid">16212218</pub-id>
</element-citation>
</ref>
<ref id="A3525R12">
<label>12</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hassanzadeh</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Mohammadbeigi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Eshrati</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Moemenbellah-Fard</surname>
<given-names>MD</given-names>
</name>
</person-group>
<article-title>Estimation of the regional burden of non-communicable diseases due to obesity and overweight in Markazi province, Iran, 2006-2007.</article-title>
<source>J Cardiovasc Dis Res.</source>
<year>2012</year>
<volume>3</volume>
<issue>1</issue>
<fpage>26</fpage>
<lpage>31</lpage>
<pub-id pub-id-type="doi">10.4103/0975-3583.91600</pub-id>
<pub-id pub-id-type="pmid">22346142</pub-id>
</element-citation>
</ref>
<ref id="A3525R13">
<label>13</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hosseinpoor</surname>
<given-names>AR</given-names>
</name>
<name>
<surname>Van Doorslaer</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Speybroeck</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Naghavi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Mohammad</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Majdzadeh</surname>
<given-names>R</given-names>
</name>
<etal>et al.</etal>
</person-group>
<article-title>Decomposing socioeconomic inequality in infant mortality in Iran.</article-title>
<source>Int J Epidemiol.</source>
<year>2006</year>
<volume>35</volume>
<issue>5</issue>
<fpage>1211</fpage>
<lpage>9</lpage>
<pub-id pub-id-type="doi">10.1093/ije/dyl164</pub-id>
<pub-id pub-id-type="pmid">16987848</pub-id>
</element-citation>
</ref>
<ref id="A3525R14">
<label>14</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khosravi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Taylor</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Naghavi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Lopez</surname>
<given-names>AD</given-names>
</name>
</person-group>
<article-title>Differential mortality in Iran.</article-title>
<source>Popul Health Metr.</source>
<year>2007</year>
<volume>5</volume>
<issue>7</issue>
<pub-id pub-id-type="doi">10.1186/1478-7954-5-7</pub-id>
</element-citation>
</ref>
<ref id="A3525R15">
<label>15</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Montazeri</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Goshtasebi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Vahdaninia</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Educational inequalities in self-reported health in a general Iranian population.</article-title>
<source>BMC Res Notes.</source>
<year>2008</year>
<volume>1</volume>
<fpage>50</fpage>
<pub-id pub-id-type="doi">10.1186/1756-0500-1-50</pub-id>
<pub-id pub-id-type="pmid">18710503</pub-id>
</element-citation>
</ref>
<ref id="A3525R16">
<label>16</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pourmalek</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Abolhassani</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Naghavi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Mohammad</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Majdzadeh</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Holakouie Naeini</surname>
<given-names>K</given-names>
</name>
<etal>et al.</etal>
</person-group>
<article-title>Direct estimation of life expectancy in the Islamic Republic of Iran in 2003.</article-title>
<source>East Mediterr Health J.</source>
<year>2009</year>
<volume>15</volume>
<issue>1</issue>
<fpage>76</fpage>
<lpage>84</lpage>
<pub-id pub-id-type="pmid">19469429</pub-id>
</element-citation>
</ref>
<ref id="A3525R17">
<label>17</label>
<element-citation publication-type="book">
<source>Utilization Health Servises in I.R.</source>
<year>2004</year>
<publisher-loc>Tehran</publisher-loc>
<publisher-name>Ministry of health and Medical Education</publisher-name>
</element-citation>
</ref>
<ref id="A3525R18">
<label>18</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Giannakopoulos</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Tzavara</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Dimitrakaki</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Ravens-Sieberer</surname>
<given-names>U</given-names>
</name>
<name>
<surname>Tountas</surname>
<given-names>Y</given-names>
</name>
</person-group>
<article-title>Adolescent health care use: investigating related determinants in Greece.</article-title>
<source>J Adolesc.</source>
<year>2010</year>
<volume>33</volume>
<issue>3</issue>
<fpage>477</fpage>
<lpage>85</lpage>
<pub-id pub-id-type="doi">10.1016/j.adolescence.2009.06.003</pub-id>
<pub-id pub-id-type="pmid">19596423</pub-id>
</element-citation>
</ref>
<ref id="A3525R19">
<label>19</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hosseinpoor</surname>
<given-names>AR</given-names>
</name>
<name>
<surname>Naghavi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Alavian</surname>
<given-names>SM</given-names>
</name>
<name>
<surname>Speybroeck</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Jamshidi</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Vega</surname>
<given-names>J</given-names>
</name>
</person-group>
<article-title>Determinants of seeking needed outpatient care in Iran: results from a national health services utilization survey.</article-title>
<source>Arch Iran Med.</source>
<year>2007</year>
<volume>10</volume>
<issue>4</issue>
<fpage>439</fpage>
<lpage>45</lpage>
<pub-id pub-id-type="pmid">17903047</pub-id>
</element-citation>
</ref>
<ref id="A3525R20">
<label>20</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vyas</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Kumaranayake</surname>
<given-names>L</given-names>
</name>
</person-group>
<article-title>Constructing socio-economic status indices: how to use principal components analysis.</article-title>
<source>Health Policy Plan.</source>
<year>2006</year>
<volume>21</volume>
<issue>6</issue>
<fpage>459</fpage>
<lpage>68</lpage>
<pub-id pub-id-type="doi">10.1093/heapol/czl029</pub-id>
<pub-id pub-id-type="pmid">17030551</pub-id>
</element-citation>
</ref>
<ref id="A3525R21">
<label>21</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Andersen</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Newman</surname>
<given-names>JF</given-names>
</name>
</person-group>
<article-title>Societal and Individual Determinants of Medical Care Utilization in the United States.</article-title>
<source>Milbank Quarterly.</source>
<year>2005</year>
<volume>83</volume>
<issue>4</issue>
<pub-id pub-id-type="doi">10.1111/j.1468-0009.2005.00428.x</pub-id>
</element-citation>
</ref>
<ref id="A3525R22">
<label>22</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Houweling</surname>
<given-names>TA</given-names>
</name>
<name>
<surname>Kunst</surname>
<given-names>AE</given-names>
</name>
<name>
<surname>Mackenbach</surname>
<given-names>JP</given-names>
</name>
</person-group>
<article-title>Measuring health inequality among children in developing countries: does the choice of the indicator of economic status matter?</article-title>
<source>Int J Equity Health.</source>
<year>2003</year>
<volume>2</volume>
<issue>1</issue>
<fpage>8</fpage>
<pub-id pub-id-type="doi">10.1186/1475-9276-2-8</pub-id>
<pub-id pub-id-type="pmid">14609435</pub-id>
</element-citation>
</ref>
<ref id="A3525R23">
<label>23</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Singh</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Sarkin</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Shieh</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Khanna</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Terkeltaub</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>SJ</given-names>
</name>
<etal>et al.</etal>
</person-group>
<article-title>Health care utilization in patients with gout.</article-title>
<source>Semin Arthritis Rheum.</source>
<year>2011</year>
<volume>40</volume>
<issue>6</issue>
<fpage>501</fpage>
<lpage>11</lpage>
<pub-id pub-id-type="doi">10.1016/j.semarthrit.2010.07.001</pub-id>
<pub-id pub-id-type="pmid">20828793</pub-id>
</element-citation>
</ref>
<ref id="A3525R24">
<label>24</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hosseinpoor</surname>
<given-names>AR</given-names>
</name>
<name>
<surname>Mohammad</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Majdzadeh</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Naghavi</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Abolhassani</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Sousa</surname>
<given-names>A</given-names>
</name>
<etal>et al.</etal>
</person-group>
<article-title>Socioeconomic inequality in infant mortality in Iran and across its provinces.</article-title>
<source>Bull World Health Organ.</source>
<year>2005</year>
<volume>83</volume>
<issue>11</issue>
<fpage>837</fpage>
<lpage>44</lpage>
<pub-id pub-id-type="pmid">16302040</pub-id>
</element-citation>
</ref>
<ref id="A3525R25">
<label>25</label>
<element-citation publication-type="web">
<person-group person-group-type="author">
<collab>Statistical Center of Iran.</collab>
</person-group>
<article-title>[General Population and Housing Census].</article-title>
<year>2006</year>
<date-in-citation content-type="updated">updated 2006</date-in-citation>
<date-in-citation content-type="access-date">cited 2011</date-in-citation>
<comment>Available from:
<ext-link ext-link-type="uri" xlink:href="http://www.amar.org.ir/Upload/Modules/Contents/asset23/ostani/markazi1.pdf">http://www.amar.org.ir/Upload/Modules/Contents/asset23/ostani/markazi1.pdf</ext-link>
</comment>
</element-citation>
</ref>
<ref id="A3525R26">
<label>26</label>
<element-citation publication-type="book">
<person-group person-group-type="author">
<collab>Ministry of Health and Medical Education.</collab>
</person-group>
<source>Guidline for Conducting Health Care Utilization Survey.</source>
<year>2008</year>
<publisher-loc>Tehran</publisher-loc>
</element-citation>
</ref>
<ref id="A3525R27">
<label>27</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Howe</surname>
<given-names>LD</given-names>
</name>
<name>
<surname>Hargreaves</surname>
<given-names>JR</given-names>
</name>
<name>
<surname>Huttly</surname>
<given-names>SR</given-names>
</name>
</person-group>
<article-title>Issues in the construction of wealth indices for the measurement of socio-economic position in low-income countries.</article-title>
<source>Emerg Themes Epidemiol.</source>
<year>2008</year>
<volume>5</volume>
<fpage>3</fpage>
<pub-id pub-id-type="doi">10.1186/1742-7622-5-3</pub-id>
<pub-id pub-id-type="pmid">18234082</pub-id>
</element-citation>
</ref>
<ref id="A3525R28">
<label>28</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hanley</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Negassa</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Edwardes</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Forrester</surname>
<given-names>JE</given-names>
</name>
</person-group>
<article-title>Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation.</article-title>
<source>Am J Epidemiol.</source>
<year>2003</year>
<volume>157</volume>
<issue>4</issue>
<fpage>364</fpage>
<lpage>75</lpage>
<pub-id pub-id-type="doi">10.1093/aje/kwf215</pub-id>
<pub-id pub-id-type="pmid">12578807</pub-id>
</element-citation>
</ref>
<ref id="A3525R29">
<label>29</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Horton</surname>
<given-names>NJ</given-names>
</name>
<name>
<surname>Lipsitz</surname>
<given-names>SR</given-names>
</name>
</person-group>
<article-title>Review of software to fit generalized estimating equation regression models.</article-title>
<source>American Statistician.</source>
<year>1999</year>
<fpage>160</fpage>
<lpage>9</lpage>
</element-citation>
</ref>
<ref id="A3525R30">
<label>30</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alio</surname>
<given-names>AP</given-names>
</name>
<name>
<surname>Daley</surname>
<given-names>EM</given-names>
</name>
<name>
<surname>Nana</surname>
<given-names>PN</given-names>
</name>
<name>
<surname>Duan</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Salihu</surname>
<given-names>HM</given-names>
</name>
</person-group>
<article-title>Intimate partner violence and contraception use among women in Sub-Saharan Africa.</article-title>
<source>Int J Gynaecol Obstet.</source>
<year>2009</year>
<volume>107</volume>
<issue>1</issue>
<fpage>35</fpage>
<lpage>8</lpage>
<pub-id pub-id-type="doi">10.1016/j.ijgo.2009.05.002</pub-id>
<pub-id pub-id-type="pmid">19481751</pub-id>
</element-citation>
</ref>
<ref id="A3525R31">
<label>31</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gerritsen</surname>
<given-names>AA</given-names>
</name>
<name>
<surname>Bramsen</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Deville</surname>
<given-names>W</given-names>
</name>
<name>
<surname>van Willigen</surname>
<given-names>LH</given-names>
</name>
<name>
<surname>Hovens</surname>
<given-names>JE</given-names>
</name>
<name>
<surname>van der Ploeg</surname>
<given-names>HM</given-names>
</name>
</person-group>
<article-title>Use of health care services by Afghan, Iranian, and Somali refugees and asylum seekers living in The Netherlands.</article-title>
<source>Eur J Public Health.</source>
<year>2006</year>
<volume>16</volume>
<issue>4</issue>
<fpage>394</fpage>
<lpage>9</lpage>
<pub-id pub-id-type="doi">10.1093/eurpub/ckl046</pub-id>
<pub-id pub-id-type="pmid">16672251</pub-id>
</element-citation>
</ref>
<ref id="A3525R32">
<label>32</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mendoza-Sassi</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Beria</surname>
<given-names>JU</given-names>
</name>
</person-group>
<article-title>Prevalence of having a regular doctor, associated factors, and the effect on health services utilization: a population-based study in Southern Brazil.</article-title>
<source>Cad Saude Publica.</source>
<year>2003</year>
<volume>19</volume>
<issue>5</issue>
<fpage>1257</fpage>
<lpage>66</lpage>
<pub-id pub-id-type="pmid">14666207</pub-id>
</element-citation>
</ref>
<ref id="A3525R33">
<label>33</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vingilis</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Wade</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Seeley</surname>
<given-names>J</given-names>
</name>
</person-group>
<article-title>Predictors of adolescent health care utilization.</article-title>
<source>J Adolesc.</source>
<year>2007</year>
<volume>30</volume>
<issue>5</issue>
<fpage>773</fpage>
<lpage>800</lpage>
<pub-id pub-id-type="doi">10.1016/j.adolescence.2006.10.001</pub-id>
<pub-id pub-id-type="pmid">17141307</pub-id>
</element-citation>
</ref>
<ref id="A3525R34">
<label>34</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kushel</surname>
<given-names>MB</given-names>
</name>
<name>
<surname>Vittinghoff</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Haas</surname>
<given-names>JS</given-names>
</name>
</person-group>
<article-title>Factors associated with the health care utilization of homeless persons.</article-title>
<source>JAMA.</source>
<year>2001</year>
<volume>285</volume>
<issue>2</issue>
<fpage>200</fpage>
<lpage>6</lpage>
<pub-id pub-id-type="pmid">11176814</pub-id>
</element-citation>
</ref>
<ref id="A3525R35">
<label>35</label>
<element-citation publication-type="book">
<person-group person-group-type="author">
<name>
<surname>Commision on Social Determinants of Health.</surname>
</name>
</person-group>
<source>Closing the gap in a generation: health equity through action on the social determinants of health.</source>
<year>2008</year>
<publisher-loc>Geneva</publisher-loc>
<publisher-name>World Health Organization</publisher-name>
</element-citation>
</ref>
</ref-list>
</back>
</pmc>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/SidaSubSaharaV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002595  | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 002595  | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Sante
   |area=    SidaSubSaharaV1
   |flux=    Pmc
   |étape=   Corpus
   |type=    RBID
   |clé=     
   |texte=   
}}

Wicri

This area was generated with Dilib version V0.6.32.
Data generation: Mon Nov 13 19:31:10 2017. Site generation: Wed Mar 6 19:14:32 2024